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Extracting Tree Height from Repeat-Pass PolInSAR Data : Experiments with JPL and ESA Airborne SystemsIn this paper we present our latest developments and experiments with the random-motion-over-ground (RMoG) model used to extract canopy height and other important forest parameters from repeat-pass polarimetricinterferometric SAR (Pol-InSAR) data. More specifically, we summarize the key features of the RMoG model in contrast with the random-volume-over-ground (RVoG) model, describe in detail a possible inversion scheme for the RMoG model and illustrate the results of the RMoG inversion using airborne data collected by the Jet Propulsion Laboratory (JPL) and the European Space Agency (ESA).
Document ID
20150007756
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Lavalle, Marco
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Ahmed, Razi
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Neumann, Maxim
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Hensley, Scott
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
May 8, 2015
Publication Date
July 21, 2013
Subject Category
Statistics And Probability
Earth Resources And Remote Sensing
Meeting Information
Meeting: IEEE International Geoscience and Remote Sensing Symposium
Location: Melbourne
Country: Australia
Start Date: July 21, 2013
End Date: July 26, 2013
Sponsors: Bureau of Meteorology, Institute of Electrical and Electronics Engineers, Environmental Systems Research Inst., Inc., Australian National Univ., Academia Sinica, Geoscience Australia, Commonwealth Scientific and Industrial Research Organization, RMIT University
Distribution Limits
Public
Copyright
Other
Keywords
Pol-InSAR
ecosystems

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